eIF3: a critical player in mRNA recruitment to the ribosome with emerging roles across translation. [PDF]
Ide NA, Noorwez S, Xu C, Aitken CE.
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Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
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Innate immune activation and mitochondrial ROS induce acute and persistent cardiac conduction system dysfunction after COVID-19. [PDF]
Ashok D +19 more
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A spleen‐targeting hybrid nanoplatform (RBCMV‐LNP‐RP) harnessing erythrophagocytosis mimics senescent red blood cell clearance to achieve spleen‐specific delivery of rapamycin. This biomimetic system enables selective accumulation in splenic macrophages, orchestrating systemic immune reprogramming and promoting mucosal healing in an inflammatory bowel ...
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Piceatannol and Pumpkin Seed Oil Synergistically Promote Apoptosis of PC3 Prostate Cancer Cells via Intrinsic Mitochondrial Pathway. [PDF]
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Positive curvature conditions on contractible manifolds. [PDF]
Sweeney P.
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Development and validation of the Physical Capacity Score (PiC) to overcome the lack of correlation among traditional physical tests in detecting age-related decline. [PDF]
Boccia G +4 more
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Intelligent educational decision-making system driven by multimodal data fusion and knowledge graphs. [PDF]
Wang Y.
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Published as part of Zhou, De-Yao, 2020, A revision of the genus Morphostenophanes Pic, 1925 (Coleoptera, Tenebrionidae, Stenochiinae, Cnodalonini), pp.
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